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20182025
most citedLocal Trajectory Stabilization for Dexterous Manipulation via Piecewise Affine Approximations

2 citations · 5 across the 14 of their papers we have counts for

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cs.RO2023

Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives

Weiqiao Han, Ashkan Jasour, Brian Williams

We consider the motion planning problem for stochastic nonlinear systems in uncertain environments. More precisely, in this problem the robot has stochastic nonlinear dynamics and…

cs.RO2023★ 1 cited

Non-Gaussian Uncertainty Minimization Based Control of Stochastic Nonlinear Robotic Systems

Weiqiao Han, Ashkan Jasour, Brian Williams

In this paper, we consider the closed-loop control problem of nonlinear robotic systems in the presence of probabilistic uncertainties and disturbances. More precisely, we design a…

cs.RO2022

Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments

Weiqiao Han, Ashkan Jasour, Brian Williams

We address the risk bounded trajectory optimization problem of stochastic nonlinear robotic systems. More precisely, we consider the motion planning problem in which the robot has…

cs.RO2021

Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification

Ashkan Jasour, Weiqiao Han, Brian Williams

In this paper, we address the real-time risk-bounded safety verification problem of continuous-time state trajectories of autonomous systems in the presence of uncertain time-varyi…

cs.RO2021

Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments

Ashkan Jasour, Weiqiao Han, Brian Williams

In this paper, we address the trajectory planning problem in uncertain nonconvex static and dynamic environments that contain obstacles with probabilistic location, size, and geome…

cs.RO2019★ 2 cited

Local Trajectory Stabilization for Dexterous Manipulation via Piecewise Affine Approximations

Weiqiao Han, Russ Tedrake

We propose a model-based approach to design feedback policies for dexterous robotic manipulation. The manipulation problem is formulated as reaching the target region from an initi…